CMMI based fuzzy logic approach to assess the digital manufacturing maturity level of manufacturing industries

被引:5
|
作者
Thomas, Tharun [1 ]
Saleeshya, P. G. [1 ]
机构
[1] Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Coimbatore, India
来源
TQM JOURNAL | 2023年 / 35卷 / 08期
关键词
Digitalisation; Digital manufacturing; CMMI; Maturity model; Industry; 4; 0; MODEL;
D O I
10.1108/TQM-07-2022-0235
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
PurposeThis research study aims to introduce a maturity model based on capability maturity model integration (CMMI) that can assess the digital manufacturing maturity level of manufacturing companies.Design/methodology/approachA CMMI model for the manufacturing industry is designed to assess the digitalisation level of manufacturing industries. The model is developed exclusively for the process area "organisational process focus" (OPF), and the digitalisation level is quantified using fuzzy logic by employing a case study approach.FindingsThe CMMI is successfully employed to assess the digitalisation level of a manufacturing organisation using the fuzzy logic approach. The triangular fuzzy number of the Fuzzy CMMI Measure Index (FCMI) is obtained as (6.08, 7.33, 8.52). The transformation of FCMI into linguistic terms discloses the digitalisation level of the manufacturing organisation as "Capability Maturity Level 4" (CML 4).Originality/valueThe authors tested the suitability of CMMI in the manufacturing sector. The operational concept introduced in this research sets forth a unique framework to quantify the digitalisation level of manufacturing industries.
引用
收藏
页码:2658 / 2683
页数:26
相关论文
共 50 条
  • [31] Measurement and analysis of informatization level of manufacturing industries
    Yu, Xiao-dong
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON ECONOMIC AND BUSINESS MANAGEMENT (FEBM 2017), 2017, 33 : 764 - 769
  • [32] Manufacturing flexibility measurement: a fuzzy logic framework
    Univ of Southwestern Louisiana, Lafayette, United States
    IEEE Trans Rob Autom, 4 (513-524):
  • [33] Optimizing location of manufacturing industries in the context of economic globalization: A bi-level model based approach
    Wu, Shanhua
    Yang, Zhongzhen
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 501 : 327 - 337
  • [34] Manufacturing flexibility measurement: A fuzzy logic framework
    Tsourveloudis, NC
    Phillis, YA
    IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1998, 14 (04): : 513 - 524
  • [35] A Pull Strategy in Manufacturing using Fuzzy Logic
    Huang, Min
    Mo, J. H.
    Ip, W. H.
    Wangi, Xingwei
    PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES, 2010, 9 : 402 - 409
  • [36] A predictive fuzzy logic controller for resin manufacturing
    Nagarajan, R
    Kumar, RN
    Halim, RA
    Rosli, A
    COMPUTERS & INDUSTRIAL ENGINEERING, 1998, 34 (02) : 493 - 500
  • [37] An approach based on fuzzy sets for manufacturing system design
    Gien, D
    Jacqmart, S
    Seklouli, A
    Barad, M
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2003, 41 (02) : 315 - 335
  • [38] MANUFACTURING TOLERANCE DESIGN BASED ON FUZZY BINARY APPROACH
    Martin, A. John
    Padmanaban, K. P.
    Thiagarajan, K.
    TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2015, 39 (01) : 85 - 95
  • [39] Fuzzy logic-based segmentation of manufacturing defects on reflective surfaces
    Ozturk, Saban
    Akdemir, Bayram
    NEURAL COMPUTING & APPLICATIONS, 2018, 29 (08): : 107 - 116
  • [40] FUZZY-LOGIC MODELS FOR THERMALLY BASED MICROELECTRONIC MANUFACTURING PROCESSES
    XIE, H
    MAHAJAN, RL
    LEE, YC
    IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 1995, 8 (03) : 219 - 227